지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.8
- 수록면
- 49 - 58 (10page)
이용수
초록· 키워드
오류제보하기
Recently, surveillance systems are globally installed for crime prevention by monitoring both private and public places which generate a massive amount of video data. This setup requires human experts to observe and monitor the ongoing activities continuously. To handle this tedious task, an automatic technique workable in real-time for violent activity detection (VAD) is a big challenge. Thus, this paper proposes a three-phase deep learning assisted framework for real-time VAD. In the first phase, a preprocessing step is applied to obtain the salient motion frames from the video data through frame differencing algorithm. These frames are fed into the second phase where a lightweight convolutional neural network (CNN) extracts the most discriminative features. Finally, a CNN model classifies the activity into violent and non-violent scene. In case of violent activity, the activity is reported to notify the nearest security departments and police stations for the prompt action. The proposed method achieves 96% accuracy on the publicly available dataset and outperforms over state-of-the-art methods.
목차
등록된 정보가 없습니다.
참고문헌 (20)
참고문헌 신청
T. Hussain / 2019 / Intelligent baby behavior monitoring using embedded vision in IoT for smart healthcare centers / Journal of Artificial Intelligence and Systems 1:110~124
튜 유 민 울라 / 2018 / Violence Recognition using Deep CNN for Smart Surveillance Applications / 한국차세대컴퓨팅학회 논문지 14(5):53~59
F. U. M. Ullah / 2021 / An intelligent system for complex violence pattern analysis and detection / International Journal of Intelligent Systems
김민제 / 2021 / A Study on Person Re-identification in Multi-view Surveillance Videos / 한국차세대컴퓨팅학회 논문지 17(1):16~24
P. Pradeepkumar / 2021 / Resource Efficient Edge Computing Infrastructure for Video Surveillance / IEEE Transactions on Sustainable Computing, pp :1~1
튜 유 민 울라 / 2018 / Violence Recognition using Deep CNN for Smart Surveillance Applications / 한국차세대컴퓨팅학회 논문지 14(5):53~59
F. U. M. Ullah / 2021 / An intelligent system for complex violence pattern analysis and detection / International Journal of Intelligent Systems
김민제 / 2021 / A Study on Person Re-identification in Multi-view Surveillance Videos / 한국차세대컴퓨팅학회 논문지 17(1):16~24
P. Pradeepkumar / 2021 / Resource Efficient Edge Computing Infrastructure for Video Surveillance / IEEE Transactions on Sustainable Computing, pp :1~1
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Deep Learning based violent protest detection system
한국컴퓨터정보학회논문지
2019 .03
-
Sub-Frame Analysis-based Object Detection for Real-Time Video Surveillance
International journal of internet, broadcasting and communication : IJIBC
2019 .01
-
어텐션 모듈을 이용한 딥러닝 기반의 폭력 탐지
대한전자공학회 학술대회
2021 .11
-
다중 센서 데이터 분석을 위한 설명 가능한 합성곱신경망 모델
대한산업공학회지
2019 .04
-
A 1D CNN-LSTM using Wav2vec 2.0 for Violent Scene Discrimination
IEIE Transactions on Smart Processing & Computing
2022 .04
-
Physical Activity Recognition With Sensory Data Encoder For Deep Convolutional Neural Network
한국통신학회 학술대회논문집
2019 .06
-
Intelligent Management System: Deep Convolutional Neural Networks for Automatic Attribute Recognition in IP Surveillance Networks
한국통신학회 APNOMS
2020 .09
-
객체 탐지와 행동인식을 이용한 영상내의 비정상적인 상황 탐지 네트워크
멀티미디어학회논문지
2021 .02
-
카메라를 이용한 Deep Convolutional Neural Network 기반 자율주행차량의 다중주기 횡방향 모션 제어
제어로봇시스템학회 국내학술대회 논문집
2019 .05
-
Effective Hand Gesture Recognition by Key Frame Selection and 3D Neural Network
스마트미디어저널
2020 .01
-
Human Motion Recognition Based on Spatio-temporal Convolutional Neural Network
멀티미디어학회논문지
2020 .08
-
Evaluation of Deep Convolutional Neural Network Architectures for Human Activity Recognition with Smartphone Sensors
한국정보과학회 학술발표논문집
2015 .06
-
[AI-15] Real-Time Detection of Very Small Objects Using Deep Learning with Image Big Data
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2024 .01
-
Real-Time Action Detection in Video Surveillance using a Sub-Action Descriptor with Multi-Convolutional Neural Networks
제어로봇시스템학회 논문지
2018 .03
-
Survey of the 3D Convolutional Neural Networks for Video Action Recognition
대한전자공학회 학술대회
2022 .06
-
수중 환경의 저시야 조건에 강인한 3D Convolutional Neural Network 기반 물체 탐지 기술
한국정밀공학회 학술발표대회 논문집
2019 .05
-
Violent crowd flow detection from surveillance cameras using deep transfer learning-gated recurrent unit
[ETRI] ETRI Journal
2024 .08
-
Convolutional Neural Network를 이용한 동영상 내 동작 인식을 위한 효과적 학습 방법
한국정보과학회 학술발표논문집
2016 .12
-
Deep Convolutional Neural Network을 이용한 2D 영상에서의 사람 자세, 행동 및 위치 통합 인식 시스템
한국정보과학회 학술발표논문집
2015 .06
-
Implementation of Violent-Scene Detection System for surveillance cameras in Elevator
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2015 .06
이 논문의 저자 정보
최근 본 자료
댓글(0)
0